A sales head in Pune types a question into ChatGPT: which CRM handles leads from housing portals and WhatsApp, for a team of fifteen. She gets four names back. She has not visited a single vendor website, has not filled a lead form, and has not seen an ad. The shortlist is already made.
That shortlist is a surface most marketing teams do not measure yet. It is the surface answer engine optimisation (AEO) and generative engine optimisation (GEO) are about, and it behaves nothing like the Google results page you have spent a decade tuning.
For the June 2026 Cited Index we ran a library of India-specific CRM buying prompts against five engines and parsed 117 responses. The rankings are worth looking at. What each engine says about a brand while naming it turned out to matter more.
What 117 AI answers returned
Zoho CRM is not narrowly ahead. It is cited at nearly double the rate of the second-place brand.
| Rank | Brand | AI Visibility Score | Mentions (of 117) | Avg position |
|---|---|---|---|---|
| 1 | Zoho CRM | 62.5 | 75 | 2.7 |
| 2 | Freshsales | 37.5 | 45 | 3.4 |
| 3 | LeadSquared | 33.3 | 40 | 3.2 |
| 4 | Freshworks | 25.9 | 31 | 4.4 |
| 5 | Salesforce | 25.0 | 30 | 4.5 |
| 6 | HubSpot | 24.2 | 29 | 4.1 |
| 7 | Pipedrive | 20.0 | 24 | 4.2 |
| 8 | HubSpot CRM | 20.0 | 24 | 3.9 |
Source: June 2026 Cited Index, CRM and Sales category, 25 brands. Methodology.
The two biggest pure-play CRM companies in the world, Salesforce and HubSpot, sit fifth and sixth in answers to Indian buying prompts. Three India-built products sit above them.
One caution before anyone builds a strategy on that. The Index measures what the engines said. It does not establish why. The prompts are India-specific, carrying rupee budgets, Indian support expectations, and local integrations, and India-focused products come back more often in the answers. That is an observed outcome, not a demonstrated mechanism. We have not run the experiment that would separate the two, and I would rather say so than dress a correlation up as a cause.
The category also pulled in 99acres, Housing.com, and MagicBricks. That is not a data error. One of the prompts is explicitly about a real-estate business managing leads from housing portals, and the engines answered it by naming the portals. It is a useful reminder that engines answer the question asked, not the category you filed it under.
The adjectives are the finding
Cited records the descriptors an engine attaches to a brand when it names it. Across the CRM category the pattern is sharper than the ranking.
| Brand | What engines call it |
|---|---|
| Zoho CRM | affordable, customizable, scalable, budget-friendly, cost-effective |
| Freshsales | AI-powered, easy adoption, above budget, intuitive UI, clean UI |
| LeadSquared | lead management, high-volume, market leader, Indian CRM, India-focused |
| Freshworks | parent company, strong support, Indian company, Indian-founded |
| Salesforce | enterprise, expensive, enterprise CRM, enterprise-grade |
| HubSpot | CRM platform, global CRM, inbound marketing, responsive |
Salesforce is not missing from these answers. It appears in 30 of 117. When it appears, the word riding alongside it is expensive.
For a buyer who has framed their question around a per-user budget, that adjective does more work than the ranking does. It is the difference between being on a shortlist and being on a shortlist the buyer has already mentally priced out.
Freshsales carries something similar in miniature. Its tags are mostly positive on product, then above budget sits in the middle of them. Zoho CRM's five tags are all some version of the same idea: this one is affordable and it bends to fit you.
None of these descriptors were written by the brands. They are what engines synthesised from how the wider web discusses each product, which is the same third-party layer where 95.9% of brand citations already live. If you want to change the adjective, the work is mostly not on your own website. We went further into how these narratives form in what narrative is AI building about your brand.
Several brands are competing against themselves
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This is the finding with the clearest fix attached, and four brands in one category are affected by it.
| Family | Labels engines treat as separate | Combined mentions |
|---|---|---|
| Zoho | Zoho CRM (75), Zoho (11), Zoho Books (10), Bigin by Zoho CRM (7) | 103 |
| Freshworks | Freshsales (45), Freshworks (31) | 76 |
| HubSpot | HubSpot (29), HubSpot CRM (24) | 53 |
| Kylas | Kylas CRM (9), Kylas (6) | 15 |
HubSpot's 53 mentions are split across two labels scoring 24.2 and 20.0. Read as one entity, that volume would place it well up the table. Read as engines actually returned it, HubSpot occupies rank six and rank eight, and neither position reflects the whole.
The split is not cosmetic. On ChatGPT specifically, "HubSpot CRM" scores 45.8 while "HubSpot" scores 25.0. The same company is being retrieved under two names with very different strength depending on which name the engine reaches for.
Entity consolidation is unglamorous work: consistent product naming across your own site, your documentation, your review-site profiles, and your schema markup, so that engines resolve the variants to one thing. It is also one of the few levers on this list that a marketing team can pull without waiting on anyone else.
The engines do not agree with each other
Treating "AI search" as one surface hides most of what is happening. Salesforce is the clearest example in this category.
| Brand | Google AIO | Gemini | ChatGPT | AI Mode | Perplexity |
|---|---|---|---|---|---|
| Zoho CRM | 54.2 | 70.8 | 75.0 | 54.2 | 58.3 |
| Freshsales | 20.8 | 37.5 | 75.0 | 25.0 | 29.2 |
| LeadSquared | 29.2 | 37.5 | 50.0 | 25.0 | 25.0 |
| Salesforce | 8.3 | 37.5 | 33.3 | 25.0 | 20.8 |
| HubSpot | 20.8 | 37.5 | 25.0 | 16.7 | 20.8 |
Salesforce scores 8.3 on Google AI Overviews and 37.5 on Gemini. Those are both Google products, and they are returning substantially different answers to the same category of question. Neither is wrong. They are different retrieval pipelines with different source mixes, and a brand can be strong on one and thin on the other at the same time. We covered that divergence pattern across categories in platform bias.
Freshsales shows the inverse risk. At 75.0 on ChatGPT it is level with Zoho CRM, the category leader. At 20.8 on Google AI Overviews it is mid-table. A team looking only at ChatGPT would conclude they have parity. They have parity on one engine out of five.
One more number worth pulling out. Bigin by Zoho CRM scores just 5.8 and is named in only 7 responses, but its average position is 1.4, the strongest in the category. When engines do name it, they name it first. Mention rate and position are separate metrics, and a brand can be rare and first, or frequent and fifth. Zoho CRM at 62.5 sits at position 2.7.
If you are not a CRM company
The category is the worked example. The pattern is what transfers.
Ask three questions about your own category, in this order. Do you appear at all in answers to the buying questions your customers actually ask, phrased the way they phrase them, with budgets and local constraints included. What adjective comes with you when you do appear, because a mention carrying the wrong descriptor can cost more than an absence. And is your brand resolving to one entity, or are engines splitting your name across a product label, a company label, and a legacy label.
The third question is the cheapest to fix and the most commonly ignored. Four of 25 brands in a single category are splitting their own citation share right now.
The first question is the one most teams have never measured. That is the honest state of this discipline in July 2026: the shortlist is being generated many times a day, in answers nobody on the marketing team has read.
If Zoho CRM's five framing tags still read affordable and customizable in the August edition, the position is durable. If Salesforce's expensive tag softens on any engine, something in the third-party layer moved, and that is worth knowing before your next quarter of content spend is committed.